JOSHUA POLLARD

Designed and implemented intelligent, user-facing features by integrating LLMs using LangChain for dynamic prompt management, leveraging FastAPI to create responsive, API-driven interfaces for real-time AI interactions. Utilized LangGraph to architect stateful, graph-based AI workflows, enabling complex decision-making processes within applications, and optimized model inference with ONNX Runtime

Designed scalable microservices using .NETCore, leveraging Dapper for lightweight, high-performance data access to SQL Server, and implementing gRPC for efficient, low-latency inter-service communication in distributed systems. Developed enterprise-grade backend systems with Spring Boot, utilizing Hibernate for ORM-based interactions with PostgreSQL, and exposing GraphQL endpoints to enable flexib

Built high-performance APIs using Ruby on Rails with ActiveRecord for efficient PostgreSQL data access, utilizing Puma for concurrent request handling and Sidekiq with Redis for asynchronous job processing, ensuring scalable and responsive server-side systems. Developed asynchronous microservices with Node.js using Fastify for high-speed routing, leveraging Mongoose for flexible MongoDB data model

Collaborated with a Senior Software Engineer to receive hands-on guidance on TypeScript-based development, mastering best practices in Node.js, React, and Angular for building scalable, maintainable applications. Assisted in building performant APIs using Node.js with Fastify and TypeScript, leveraging Mongoose for MongoDB data modeling to ensure type-safe, scalable backend systems.

Completed a comprehensive curriculum in Computer Science, gaining foundational knowledge and practical skills in various aspects of the field. Focused on core computer science principles and their applications.